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Robust fault reconstruction for a class of nonlinear systems

Version 2 2024-06-06, 01:52
Version 1 2019-12-16, 14:24
journal contribution
posted on 2024-06-06, 01:52 authored by WS Chua, JCL Chan, CP Tan, EKP Chong, S Saha
This paper proposes two novel observer schemes for reconstructing faults in systems where the fault enters the state and output equations via nonlinear functions, which has not been considered in the literature. Two design methods are presented: one for the case where the fault dynamics are known and can be expressed as a polynomial function of time, and another for the case where the fault dynamics are unknown. The gains of the observer are designed using linear matrix inequalities (LMIs) such that the root-mean-square (RMS) gain from the uncertainties (or disturbances) to the fault reconstruction error is bounded. Necessary conditions for the feasibility of the LMIs are presented. Finally, a simulation example is shown to demonstrate the efficacy of the proposed scheme.

History

Journal

Automatica

Volume

113

Article number

108718

Pagination

1-5

Location

Amsterdam, The Netherlands

ISSN

0005-1098

Language

eng

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Publisher

Elsevier